Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Quinoto-Tech/QuinotoSpecnpx agentmods add skills/quinoto-tech/quinotospec/quinotospec-huginn-muninnWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/quinoto-tech/quinotospec/quinotospec-huginn-muninn)<a href="https://agentmods.dev/skills/quinoto-tech/quinotospec/quinotospec-huginn-muninn"><img src="https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-huginn-muninn/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/quinoto-tech/quinotospec/quinotospec-huginn-muninn"><img src="https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-huginn-muninn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.00851 |
| Opus 5 | $0.00020 | $0.00426 |
| Sonnet 5 | $0.00008 | $0.00170 |
| Haiku 4.5 | $0.00004 | $0.00085 |
Grade A, and why
quinotospec-huginn-muninn scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Usa `INTERNAL_ONLY` en `validate-all.sh` para evitar curl flaky en CI How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Quinotospec Huginn & Muninn — Los Cuervos de Odin
Huginn (Pensamiento) y Muninn (Memoria) vuelan cada amanecer y reportan a Odin. Estos cuervos vuelan por tu codebase.
Cuando usar
- Cada PR y cada noche (cron) para detectar degradacion de entropia
- Como gate pre-merge: bloquea si
S_final >= 0.76(critico) o delta+0.10vs baseline - Para generar
tiwaz-rune/INDEX.mdhistorico sin correr Tiwaz manual
Invocacion
/quinotospec-huginn-muninn --pr # en PR: compara baseline vs head
/quinotospec-huginn-muninn --cron # en cron: historico diario
/quinotospec-huginn-muninn --service ./services/payments --json
Comportamiento
1. Huginn — Pensamiento (artefacto actual)
- Ejecuta
quinotospec-tiwaz-rune --json(formal + proxy) yquinotospec-dependency-graph - Calcula
S_final = 0.60*H_total + 0.40*S_proxyy clasifica (0.00-0.20 sano / 0.76+ critico) - Guarda
.quinoto-spec/tiwaz-rune/YYYYMMDD-hhmm-entropy.json+.md
2. Muninn — Memoria (baseline y tendencia)
- Lee ultimo
tiwaz-rune/*.jsoncomo baseline - Calcula delta
ΔS = S_head - S_basey tendencia 7/30 dias - Actualiza
tiwaz-rune/INDEX.md(tabla fecha, S_final, H_total, S_proxy, top hallazgo)
3. Alerta
| Condicion | Severidad | Accion |
|---|---|---|
S_final >= 0.76 |
BLOCKING | Falla CI, sugiere mjolnir-refactor |
ΔS >= +0.10 |
WARNING | Comenta PR con drill-down por dimension |
S_final 0.51-0.75 |
WARNING | Reporte sin bloqueo |
Formato comentario PR:
🪶 Huginn & Muninn — Entropia PR #123
- S_final: 0.62 (+0.08 vs baseline 0.54) — alta
- Top driver: H_grafo +0.12 (nuevo ciclo auth→payments)
- Plan: ver tiwaz-rune/20260828-1200-entropy-report.md
CI Integration
Workflow .github/workflows/huginn-muninn.yml (generado por skill si no existe):
on: [pull_request, push, schedule: cron: 0 6 * * *]
jobs:
entropy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- run: ./scripts/validate-all.sh --internal-only
- run: bash agent-dist/skills/quinotospec-huginn-muninn/check.sh --json
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 77 lines · 41 tokens per session scan A ef695acad626
quinotospec-huginn-muninn is a skill published in the GitHub repository Quinoto-Tech/QuinotoSpec (20 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 851 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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